Two new preprints out today related to our work on Bayesian hierarchical models for demographic and health indicators.
The first preprint, joint with Leontine Alkema and Evan Ray, introduces a data model that incorporates Bayesian shrinkage priors as a way to flexibly handle data sources with reporting issues. We have also used shrinkage priors for modeling indicators with large shocks (for example, life expectancy during wars); see our preprint.
The second preprint, led by Leontine, gives an overview of the current iteration of the Family Planning Estimation Model (FPET), which incorporates extensions that I worked on for my dissertation.